2002
DOI: 10.1136/sti.78.suppl_1.i55
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The effect of HIV, behavioural change, and STD syndromic management on STD epidemiology in sub-Saharan Africa: simulations of Uganda

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Cited by 21 publications
(21 citation statements)
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“…It has been described in detail elsewhere 32 3639 . STDSIM is able to simulate realistic sexual networks and heterogeneity between individuals in sexual behaviour and in the natural history of infection.…”
Section: Methodsmentioning
confidence: 99%
“…It has been described in detail elsewhere 32 3639 . STDSIM is able to simulate realistic sexual networks and heterogeneity between individuals in sexual behaviour and in the natural history of infection.…”
Section: Methodsmentioning
confidence: 99%
“…Hence the population adjustment must take into account the proportion sexually active in the different age strata in the sampled group (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29) year olds). Diagnostic adjustments were applied to the observed prevalence in each age group.…”
Section: Estimation Of Selection Biasmentioning
confidence: 99%
“…This suggests that HSV-2 was already widespread in Africa before the HIV epidemic, and that HIV infection is not an important determinant of the HSV-2 prevalence in the population. This conclusion is also supported by mathematical modelling of the Ugandan HIV epidemic, in which stable HSV-2 prevalence was attributed to the small increase due to enhanced transmission by HIV being balanced by the effects of HIV-related mortality,18 and by modelling of the interaction of HIV and HSV-2 in Kisumu, Kenya 19…”
Section: Discussionmentioning
confidence: 74%